ArticleBiotechnology and bioengineering2025
A Setup for Automatic Raman Measurements in High-Throughput Experimentation.
Article in Biotechnology and bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Automated high-throughput Raman detection of fluidic samples: measurement setup and methods preventing air bubble interference.Analytical and bioanalytical chemistry · 2026Article
- Modelling ofBioengineering (Basel, Switzerland) · 2025Article
- Rapid development of a transferable Raman model using high-throughput cell culture for monitoring monoclonal antibody titer.Biotechnology progressArticle
- Advanced glucose control strategies leveraging Raman spectroscopy for optimized mammalian cell culture manufacturing.Biotechnology progressArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
High-throughput (HT) experimentation is transforming biotechnology by enabling systematic exploration of complex multi-dimensional experimental conditions. However, current analytical methods are often unable to handle the rapid pace of sample generation in HT workflows. This study presents an integrated system of physical devices and software to automate and accelerate Raman spectral measurements in HT-facilities. The setup simultaneously handles eight parallel
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.